1994
DOI: 10.1016/0045-7825(94)90140-6
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A variational method for finite element stress recovery and error estimation

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Cited by 37 publications
(19 citation statements)
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“…Application to additional, more complex problems is required to evaluate the approach more completely. (2) In general, the use of optimal FEA stresses result in higher accuracy than non-optimal stresses (SEA OPT vs. SEA CTR ). However, in the neighbourhood of a high local stress gradient, SEA CTR performs better than SEA OPT because more data points closer to the local maximum are provided.…”
Section: Discussionmentioning
confidence: 99%
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“…Application to additional, more complex problems is required to evaluate the approach more completely. (2) In general, the use of optimal FEA stresses result in higher accuracy than non-optimal stresses (SEA OPT vs. SEA CTR ). However, in the neighbourhood of a high local stress gradient, SEA CTR performs better than SEA OPT because more data points closer to the local maximum are provided.…”
Section: Discussionmentioning
confidence: 99%
“…The smoothing element analysis was carried out in the parametric space R × ; z. Following the order-of accuracy argument discussed in Reference [2], one quadratic smoothing macro-element was used per four quadrilateral shell elements. Speciÿcally, a 3×3 mesh of smoothing elements was used.…”
Section: Scordelis-lo Roof Subjected To Self-weightmentioning
confidence: 99%
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“…Employing a very small β parameter (say, 10 -5 ) assures that K is nonsingular even when the minimal number of sampling stresses, N=3, is available. 17 Although this aspect permits a great range of possibilities for constructing a SEA mesh, it is highly desirable for American Institute of Aeronautics and Astronautics automation purposes that the SEA mesh be identical to the FEA mesh.…”
Section: S M O O T H I N G E Q U a T I O N Smentioning
confidence: 99%
“…[14][15][16][17][18][19][20][21] The methodology, which is based on the minimization of a Penalized-Discrete-Least-Squares (PDLS) error functional, is highly effective and is designed to provide improved stress predictions with a higher degree of smoothness and to obtain robust a posteriori error estimates.…”
Section: Introductionmentioning
confidence: 99%